A deterministic multi product single machine EPQ model with backordering, scraped products, rework and interruption in manufacturing process

Taleizadeh, Ata Allah; Cárdenas–Barrón, Leopoldo Eduardo; Mohammadi, Bagher

doi:10.1016/j.ijpe.2013.11.023

Cited by 108 publications

(35 citation statements)

References 47 publications

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“…The proposed formulation takes into account the operative expenditures of an established DC due to its practical activity surface instead of the presumption that an established DC functions at the uttermost acumen. Some other related paper can be found in Taleizadeh et al (2008Taleizadeh et al ( , 2009Taleizadeh et al ( , 2010aTaleizadeh et al ( , b, 2011Taleizadeh et al ( , 2012Taleizadeh et al ( , 2013aTaleizadeh et al ( , b, 2014, Taleizadeh and Pentico (2013), Taleizadeh (2014), Taleizadeh and Nematollahi (2014) and Taleizadeh and Pentico (2014).…”

Section: Capacitated Scndmentioning

confidence: 96%

Designing a capacitated multi-configuration logistics network under disturbances and parameter uncertainty: a real-world case of a drug supply chain

Shishebori

Babadi

2017

J Ind Eng Int

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This study investigates the reliable multi-configuration capacitated logistics network design problem (RMCLNDP) under system disturbances, which relates to locating facilities, establishing transportation links, and also allocating their limited capacities to the customers conducive to provide their demand on the minimum expected total cost (including locating costs, link constructing costs, and also expected costs in normal and disturbance conditions). In addition, two types of risks are considered; (I) uncertain environment, (II) system disturbances. A two-level mathematical model is proposed for formulating of the mentioned problem. Also, because of the uncertain parameters of the model, an efficacious possibilistic robust optimization approach is utilized. To evaluate the model, a drug supply chain design (SCN) is studied. Finally, an extensive sensitivity analysis was done on the critical parameters. The obtained results show that the efficiency of the proposed approach is suitable and is worthwhile for analyzing the real practical problems.

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Section: Capacitated Scndmentioning

confidence: 96%

Designing a capacitated multi-configuration logistics network under disturbances and parameter uncertainty: a real-world case of a drug supply chain

Shishebori

Babadi

2017

J Ind Eng Int

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“…described an economic production quantity (EPQ) model with random defective items and failure in repair under limited production capacity and shortages. Taleizadeh et al (2014) considered a multi-product single machine economic production quantity (EPQ) model with random defective items and failure in repair under limited production capacity and shortages under backordering. Taleizadeh et al (2013a) developed an imperfect, multi-product production system with rework.…”

Section: Literature Reviewmentioning

confidence: 99%

An economic production model for deteriorating items and time dependent demand with rework and multiple production setups

Uthayakumar

Tharani

2017

J Ind Eng Int

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Recently, much emphasis has given to study the control and maintenance of production inventories of the deteriorating items. Rework is one of the main issues in reverse logistic and green supply chain, since it can reduce production cost and the environmental problem. Many researchers have focused on developing rework model, but few of them have developed model for deteriorating items. Due to this fact, we take up productivity and rework with deterioration as the major concern in this paper. In this paper, a production-inventory model with deteriorative items in which one cycle has n production setups and one rework setup (n, 1) policy is considered for deteriorating items with stock-dependent demand in case 1 and exponential demand in case 2. An effective iterative solution procedure is developed to achieve optimal time, so that the total cost of the system is minimized. Numerical and sensitivity analyses are discussed to examine the outcome of the proposed solution procedure presented in this research.

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“…Machining time for each re-workable product (time/unit re-workable product) P 10 Poor quality products produced in regular production phase (%) P 11 Perfect quality products produced in regular production phase (%) P 21 Perfect quality products produced in rework phase (%) P 20 Poor quality products produced in rework phase (%) P 1r…”

Section: Notationmentioning

confidence: 99%

“…They developed a new policy of overlapping and advance receiving in order to prevail good relationship between retailer and supplier. Taleizadeh et al [21] used a simple approach to cycle time and backorder quantity optimization for an imperfect production setup. It was assumed that production was carried out under limited capacity of the manufacturing system.…”

Section: Introductionmentioning

confidence: 99%

Human errors incorporation in work-in-process group manufacturing system

2017

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KEYWORDSHuman error Type I; Human error Type II; Group-technology; Optimal lot size.Abstract. Decisions, about product acceptance or rejection, based on technical measurement report in ultra-precise and high-tech manufacturing environment is highly challenging as product reaches nal stage after high value-added processes. Moreover, the role of technical personnel in decision making process for inventory models with focus on group-technology manufacturing setup has been considered relatively less. Most of the literature assumes that decisions are perfect and error free. However, in reality, human errors exist in making such decisions based on measurement reports. This paper incorporates human errors into the decision making process focusing on group-technology inventory model, where high value-added machining processes are involved. Therefore, a mathematical model is developed for the optimal lot size considering human errors in the decision making process and the imperfect production process with focus on work-inprocess inventory. Lot size is optimized based on average cost minimization by incorporating human error Type I and human error Type II. Numerical examples are used to illustrate and compare the proposed model with the previously developed models for group-technology high-tech manufacturing setups. The proposed model is considered more exible as it incorporates imperfection in process with human errors in decision making process.

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A deterministic multi product single machine EPQ model with backordering, scraped products, rework and interruption in manufacturing process

Cited by 108 publications

References 47 publications

Designing a capacitated multi-configuration logistics network under disturbances and parameter uncertainty: a real-world case of a drug supply chain

Designing a capacitated multi-configuration logistics network under disturbances and parameter uncertainty: a real-world case of a drug supply chain

An economic production model for deteriorating items and time dependent demand with rework and multiple production setups

Human errors incorporation in work-in-process group manufacturing system

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